Approaches & Challenges in 3D and Multi-Modal 3D + 2D Face Recognition

This paper provides a concise & up-to-date review of research efforts in face recognition techniques based on 2D and 3D images. Recent research has also demonstrated that the fusion of different imaging modalities and spectral components can improve the overall performance of face recognition. The majority of face recognition methods have been developed by scientists with a very technical background such as biometry, pattern recognition and computer vision methods using 3D shape applied to data embodying facial expressions. Different strategies to deal with expressions are presented. The underlying concepts and practical issues relating to the application of each strategy are given, without going into technical details.